Distance metric learning-based kernel gram matrix learning for pattern analysis tasks in kernel feature space
暂无分享,去创建一个
[1] Peter E. Hart,et al. Nearest neighbor pattern classification , 1967, IEEE Trans. Inf. Theory.
[2] Kilian Q. Weinberger,et al. Fast solvers and efficient implementations for distance metric learning , 2008, ICML '08.
[3] Glenn Fung,et al. Proximal support vector machine classifiers , 2001, KDD '01.
[4] Chellu Chandra Sekhar,et al. Class-specific GMM based intermediate matching kernel for classification of varying length patterns of long duration speech using support vector machines , 2014, Speech Commun..
[5] A. Atiya,et al. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond , 2005, IEEE Transactions on Neural Networks.
[6] Bernhard E. Boser,et al. A training algorithm for optimal margin classifiers , 1992, COLT '92.
[7] Napoleon H. Reyes,et al. A New 2D Static Hand Gesture Colour Image Dataset for ASL Gestures , 2011 .
[8] Rong Jin,et al. Distance Metric Learning: A Comprehensive Survey , 2006 .
[9] Inderjit S. Dhillon,et al. Metric and Kernel Learning Using a Linear Transformation , 2009, J. Mach. Learn. Res..
[10] Chellu Chandra Sekhar,et al. Class-Specific Mahalanobis Distance Metric Learning for Biological Image Classification , 2012, ICIAR.
[11] Bernhard Schölkopf,et al. Kernel Principal Component Analysis , 1997, ICANN.
[12] Kilian Q. Weinberger,et al. Distance Metric Learning for Kernel Machines , 2012, ArXiv.
[13] Stephen Tyree,et al. Non-linear Metric Learning , 2012, NIPS.
[14] Nello Cristianini,et al. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods , 2000 .
[15] Nasser M. Nasrabadi,et al. Pattern Recognition and Machine Learning , 2006, Technometrics.
[16] Kilian Q. Weinberger,et al. Convex Optimizations for Distance Metric Learning and Pattern Classification [Applications Corner] , 2010, IEEE Signal Processing Magazine.
[17] A. Asuncion,et al. UCI Machine Learning Repository, University of California, Irvine, School of Information and Computer Sciences , 2007 .
[18] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[19] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[20] Antonio Torralba,et al. Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope , 2001, International Journal of Computer Vision.
[21] Stephen P. Boyd,et al. Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.
[22] Inderjit S. Dhillon,et al. Information-theoretic metric learning , 2006, ICML '07.
[23] Inderjit S. Dhillon,et al. Matrix Nearness Problems with Bregman Divergences , 2007, SIAM J. Matrix Anal. Appl..
[24] Michael I. Jordan,et al. Distance Metric Learning with Application to Clustering with Side-Information , 2002, NIPS.
[25] Inderjit S. Dhillon,et al. Low-Rank Kernel Learning with Bregman Matrix Divergences , 2009, J. Mach. Learn. Res..
[26] P. Mahalanobis. On the generalized distance in statistics , 1936 .
[27] Nello Cristianini,et al. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods , 2000 .
[28] Xun Liang,et al. Hyperellipsoidal Statistical Classifications in a Reproducing Kernel Hilbert Space , 2011, IEEE Transactions on Neural Networks.
[29] L. Bregman. The relaxation method of finding the common point of convex sets and its application to the solution of problems in convex programming , 1967 .
[30] Geoffrey E. Hinton,et al. Neighbourhood Components Analysis , 2004, NIPS.
[31] Nello Cristianini,et al. Learning the Kernel Matrix with Semidefinite Programming , 2002, J. Mach. Learn. Res..
[32] Pannagadatta K. Shivaswamy. Ellipsoidal Kernel Machines , 2007 .